We propose to strengthen Popper's notion of falsifiability by adding the requirement that when an observation is inconsistent with a theory, there must be a "short proof" of this inconsistency. We model the concept of a short proof using tools from computational complexity, and provide some examples of economic theories that are falsifiable in the usual sense but not with this additional requirement. We consider several variants of the de nition of "short proof" and several assumptions about the difficulty of computation, and study their different implications on the falsifiability of theories. JEL Classification: B400
|Date of creation:||11 Apr 2013|
|Contact details of provider:|| Postal: Center for Mathematical Studies in Economics and Management Science, Northwestern University, 580 Jacobs Center, 2001 Sheridan Road, Evanston, IL 60208-2014|
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- Thomas DEMUYNCK, 2010. "The computational complexity of boundedly rational choice behavior," Working Papers Department of Economics ces10.23, KU Leuven, Faculty of Economics and Business, Department of Economics.
- Thomas Demuynck, 2014.
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Social Choice and Welfare,
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- Thomas DEMUYNCK, 2011. "The computational complexity of rationalizing Pareto optimal choice behavior," Working Papers Department of Economics ces11.13, KU Leuven, Faculty of Economics and Business, Department of Economics.
- Gil Kalai & Ariel Rubinstein & Ran Spiegler, 2001.
"Rationalizing Choice Functions by Multiple Rationales,"
Discussion Paper Series
dp278, The Federmann Center for the Study of Rationality, the Hebrew University, Jerusalem.
- Gil Kalai & Ariel Rubinstein & Ran Spiegler, 2002. "Rationalizing Choice Functions By Multiple Rationales," Econometrica, Econometric Society, vol. 70(6), pages 2481-2488, November.
- Gil Kalai & Ariel Rubenstein & Ran Spiegler, 2001. "Rationalizing Choice Functions by Multiple Rationales," Economics Working Papers 0010, Institute for Advanced Study, School of Social Science.
- Christopher P. Chambers & Federico Echenique & Eran Shmaya, 2014. "The Axiomatic Structure of Empirical Content," American Economic Review, American Economic Association, vol. 104(8), pages 2303-2319, August.
- Apesteguia, Jose & Ballester, Miguel A., 2010. "The Computational Complexity of Rationalizing Behavior," Journal of Mathematical Economics, Elsevier, vol. 46(3), pages 356-363, May.
- Lance Fortnow & Rakesh V. Vohra, 2009. "The Complexity of Forecast Testing," Econometrica, Econometric Society, vol. 77(1), pages 93-105, 01.
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